Multi-Train Eco-Driving and Safety-Tracking Cooperative Optimization by Nonlinear Programming

被引:0
|
作者
Chen, Mo [1 ,2 ]
Murgovski, Nikolce [3 ]
Xiao, Zhuang [4 ]
Feng, Xiaoyun [2 ]
Wang, Qingyuan [2 ]
Sun, Pengfei [2 ]
机构
[1] Chongqing Normal Univ, Natl Ctr Appl Math Chongqing, Chongqing 401331, Peoples R China
[2] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 611756, Peoples R China
[3] Chalmers Univ Technol, Dept Elect Engn, S-41296 Gothenburg, Sweden
[4] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Optimization; Substations; Rail transportation; Vehicle dynamics; Rain; Mathematical models; Load flow; Electricity; Electrical engineering; Sun; Eco-driving; safety-tracking; multi-train cooperation; nonlinear programming (NLP); 2-TRAIN SEPARATION PROBLEM; LEVEL TRACK; ENERGY; STRATEGIES; SYSTEMS;
D O I
10.1109/TVT.2024.3472074
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Eco-driving and safety-tracking are two main topics in multi-train operations. Both are discussed separately in existing works, but have not truly been considered simultaneously. This paper integrates the two topics and proposes a general cooperation method for multi-train operation in urban rail transit system. The cooperative operation problem is formulated as an optimal control problem and then solved as a nonlinear program (NLP). By treating catenary voltages as control variables, we show that the dynamic electric power flow for the typical double-track DC railway system can be considered within the NLP, with no need to develop a complex power flow calculation for the coupled circuits. Compared to existing works, the proposed method achieves true cooperation among trains by minimizing the global substation energy usage, while ensuring dynamic safety-tracking distances among adjacent trains.
引用
收藏
页码:2406 / 2417
页数:12
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